Interview Questions

You've described the gap between AI demo and production as 'alchemy, not engineering.' What specific moment at Standard Cyborg made you realize this was the fundamental problem to solve next?

Chroma reached 1M+ users in 9 months. What was the single most important product decision you made in the first 90 days that unlocked that viral adoption?

Your 'context rot' research shows performance decays with longer contexts. How does this finding fundamentally change how you architect Chroma's retrieval versus naive RAG implementations?

You advocate for hybrid retrieval. What's the most surprising trade-off you've encountered between dense vector search and lexical/metadata filtering in production systems?

You've called 'RAG' brain rot and champion 'context engineering.' What's the most dangerous misconception developers still hold because of the RAG framing?

You prioritize developer happiness over rapid feature releases. What's one feature your team wanted to build that you vetoed because it would complicate the core API?

Your seed round included founders from Notion, Vercel, and CockroachDB. What specific piece of advice on open-source commercialization did you get from them that changed your strategy?

The integration with Microsoft's Semantic Kernel is key. What did you learn about enterprise needs from that partnership that wasn't obvious from your open-source community?

You predict 'context engineering' replaces RAG in 2-3 years. What's the first legacy RAG pattern that will look obviously archaic by then?

You've positioned Chroma as 'modern search infrastructure.' In three years, will the vector database category even exist, or will it be absorbed into something else?